| 1 |
Software ideas are "sound" but not very easy to use as so far nobody has found a precise way of expressing parallelism in a way that combines:
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Users think is natural for problem
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Compilers or other tools can easily interpret
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Applies to a range of problems
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Curiously it is "easy" to find good "qualitative" ways of seeing why parallelism "obvious" etc.
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| 2 |
Integration of Simulation and Data is of growing importance
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Internet technologies good at such integration but don't help parallelization
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"Computational Grids" or Metacomputing focus on such integration
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| 3 |
Problem Solving Environments help bring all components of a problem area into a single interface and
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Help one access multiple available hosts but
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again don't directly address parallelism (or more precisely decomposition)
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